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• Heart Stress, Frailty and Mortality Risk in two prospective cohorts.
  Frailty is a multisystem syndrome that reflects age-related physiological decline, underscoring the need for more biologically informed risk stratification within frailty assessments. Frailty and heart stress (HS) are individually associated with increased mor…
  pubmed Huang Y, Hao M, Jiang S, Li X 等 2026 Jan 26 置信度 0.82
• Virtual reality support during systemic cancer therapy to improve anxiety/depressive symptoms and reduce toxicity in patients with gastrointestinal cancers-OncoVR.
  Systemic cancer therapy may trigger anxiety/depressive symptoms and toxicity. Relaxation techniques can help alleviate toxicities but their implementation in clinical practice is challenging. We hypothesize that virtual reality (VR) systems which project a rel…
  pubmed Kasper S, Liszio S, Schorrmann K, Gerigk M 等 2025 Mar 置信度 0.82
• Intrahepatic cholangiocarcinoma trends and treatment lines: real-world evidence from the French National Hospital Discharge database.
  Little is known about the therapeutic trajectory of patients treated in hospitals for intrahepatic cholangiocarcinoma (iCCA) and patterns of care in daily clinical practice.
  pubmed Delaye M, Grenier B, Lièvre A, Neuzillet C 2025 Jun 置信度 0.82
• Implementation of artificial intelligence in palliative and supportive care for people with cancer: A scoping review.
  Cancer remains a leading global health burden. Artificial intelligence offers new opportunities to address complex physical and psychological symptoms in palliative and supportive cancer care. Despite rapid advances, including large language models, these tech…
  pubmed Kikuchi S, Sakata M, Hasegawa T, Wada S 等 2026 Jun 置信度 0.82
• Expert Consensus on the Artificial Intelligence Proficiency Competency List and Assessment Framework for Medical Students (2025 Edition).
  To cultivate composite medical professionals capable of adapting to the development of intelligent healthcare,this consensus is grounded in the competency-based medical education,integrating the competency model and Miller's pyramid of clinical competence. A t…
  pubmed Gong MC, Pan H, Liu H, Tong K 等 2026 Feb 置信度 0.82
• Medical students perceptions and attitudes toward the use of generative artificial intelligence in clinical decision-making: a nationwide cross-sectional survey in China.
  BACKGROUND: The deep integration of artificial intelligence (AI) into healthcare is reshaping medical practice and education globally. As an emerging technology, generative AI (GenAI) demonstrates significant potential for application in clinical decision-maki…
  pubmed Cao X, Lu YY, Li JH, Luo XY 等 2026 Feb 5 置信度 0.82
• Artificial intelligence and machine learning in neurodegenerative disease management: A 21st century paradigm.
  Neurodegenerative diseases represent a major and growing clinical challenge due to their progressive nature, biological heterogeneity, and limited therapeutic options. Recent advances in artificial intelligence (AI) have introduced new analytical strategies fo…
  pubmed Basha S, Ks P, Chattopadhyay A, Pai AR 等 2026 Mar 置信度 0.82
• Classification accuracy of a hierarchical molecular inference-based deep-learning system for CNS tumour diagnosis: a multi-institutional, retrospective study.
  Recent advances in artificial intelligence (AI) and computer vision empower deep-learning models to infer molecular features from histopathological images to classify CNS tumours. The aim of this study was to test the classification accuracy of a molecular inf…
  pubmed Lalchungnunga H, Dampier CH, Singh O, Hoang DT 等 2026 Feb 置信度 0.82
• The emerging role of mixed reality and artificial intelligence in sarcoma care: A systematic review.
  Sarcomas are a heterogeneous group of cancers requiring cautious monitoring and expert management. The emerging role of Artificial Intelligence (AI) and Mixed Reality (MR) may represent a turning point in sarcoma care. This systematic review evaluates their ap…
  pubmed Joshi S, Njessi P, Camuzard O, Gauci MO 等 2026 Mar 置信度 0.82
• Enhancing urine cytopathology with artificial intelligence: a systematic review.
  To evaluate the potential of artificial intelligence (AI) to enhance urine cytopathology for detecting urothelial carcinoma (UC), emphasizing improvements in diagnostic sensitivity, accuracy, and efficiency, as well as potential reductions in pathologist workl…
  pubmed Nabiyouni F, Chiou PZ 2026 Jan 5 置信度 0.82
• Intraoperative assessment of surgical margins during radical prostatectomy: advances and challenges.
  Detection of positive surgical margins during radical prostatectomy is critical to minimizing the risk of prostate cancer recurrence. This review deals with established methods, recent advances in real-time intraoperative technologies, and future directions in…
  pubmed Cimadamore A, Cheng L, Lopez-Beltran A, Rogers ET 等 2026 Mar 1 置信度 0.82
• The effects of a mobile application-based dementia care intelligent recommender system on caregivers of people with dementia: a randomized controlled trial.
  Health recommender systems offer new opportunities to meet the personalized needs of people with dementia and their caregivers, but evidence on their effectiveness remains limited.
  pubmed Sun Y, Ji M, Leng M, Chen B 等 2026 Feb 1 置信度 0.82
• Burden and risk of asthma and rhinitis in people with atopic dermatitis: global estimates from a hierarchical Bayesian model.
  Atopic dermatitis (AD) is a chronic inflammatory skin disease often associated with asthma and rhinitis. However, epidemiological evidence on these comorbidities remains fragmented and is largely limited to high-income countries.
  pubmed Liu Y, Ge J, Xu G, Cai C 等 2026 May 19 置信度 0.82
• Epistemic and ethical limits of large language models in evidence-based medicine: from knowledge to judgment.
  The rapid evolution of general large language models (LLMs) provides a promising framework for integrating artificial intelligence into medical practice. While these models are capable of generating medically relevant language, their application in evidence in…
  pubmed Qi W, Pan L 2025 置信度 0.82
• Ethical Considerations in the Use of the da Vinci Surgical System in Modern Surgery.
  The da Vinci Surgical System supports surgeons across various specialties, including gynecology, urology, thoracic, cardiac, and general surgeries, as well as in cancer treatments for prostate, kidney, gynecologic, and colorectal cancers. This review article e…
  pubmed Hemmatyar A, Soleymani S, Khosravi-Mashizi M, Saberi A 等 2026 Jan 置信度 0.82
• Dupilumab treatment is not associated with changes in lymphoma risk in atopic dermatitis and other type 2 inflammatory diseases: data from a large-scale retrospective cohort study.
  The association between atopic dermatitis (AD) and lymphoma risk remains inconclusive. Dupilumab, approved for moderate-to-severe AD, has been linked to an increased lymphoma risk, raising significant concerns.
  pubmed Kridin K, Bieber K, Olbrich H, von Bubnoff D 等 2025 置信度 0.82
• Neurofeedback for autism spectrum disorder: Current evidence, challenges, and future directions.
  Neurofeedback therapy (NFT) has emerged as a promising noninvasive intervention for autism spectrum disorder (ASD), targeting core symptoms such as social communication deficits and emotional dysregulation. This editorial synthesizes findings from recent studi…
  pubmed Zhang Y, Wang JJ, Xing HY, Yan J 2026 Feb 19 置信度 0.82
• Convolutional Graph Isomorphism Network to Detect Glaucomatous Visual Field Defects.
  To evaluate the performance of a deep learning (DL) model based on graph isomorphism networks (GINs) for detecting glaucomatous visual field defects on 24-2 standard automated perimetry (SAP) and to compare it against traditional diagnostic criteria, a dense n…
  pubmed da Costa DR, Unyi D, Scherer R, Muralidhar R 等 2026 Mar 置信度 0.82
• Proton beam therapy induces protective immunity via HMGB1-dependent signaling.
  Proton beam therapy is widely regarded for its cost-effectiveness, precision, and protection of normal tissues. Emerging evidence shows that conventional radiotherapy can inhibit primary tumors and promote immunogenicity of distant tumors, possibly via damage-…
  pubmed Wen J, Tu X, Ren W, Wang Q 等 2025 置信度 0.82
• Artificial intelligence in the retraction spotlight: trends, causes and consequences of withdrawn AI literature through a systematic bibliometric review.
  The rapid integration of artificial intelligence (AI) in scientific research has introduced new challenges to academic integrity, with increasing concerns about AI-related article retractions. This study conducts a comprehensive bibliometric analysis of retrac…
  pubmed Sridharan K, Sivaramakrishnan G 2025 置信度 0.82
• Coronary heart disease risk prediction based on GAIN imputation and interpretable machine learning.
  Coronary atherosclerotic heart disease (CHD) is a leading cause of morbidity and mortality worldwide, making timely identification critical for improving patient prognosis. However, traditional imaging examinations are limited by high costs and patient selecti…
  pubmed Zhao S, Nan B, Guo J, Xu W 等 2025 置信度 0.82
• Artificial intelligence as a surrogate brain: bridging neural dynamical models and data.
  Recent breakthroughs in artificial intelligence (AI) are reshaping the way we construct computational counterparts of the brain, giving rise to a new class of 'surrogate brains'. In contrast to conventional hypothesis-driven biophysical models, the AI-based su…
  pubmed Zhang Y, Liu D, Liang Z, Cheng J 等 2026 Feb 置信度 0.82
• Privacy and Human-AI Relationships.
  Artificial intelligence (AI) agents such as chatbots and personal AI assistants are increasingly popular. These technologies raise new privacy concerns beyond those posed by other AI systems or information technologies. For example, anthropomorphic features of…
  pubmed Register C, Khan MA, Giubilini A, Earp BD 等 2025 Dec 置信度 0.82
• Establishment and validation of a predictive model for severe pneumonia in children.
  This study aimed to develop a model for the early identification of severe pneumonia in children by comparing common laboratory indicators between children with ordinary pneumonia and severe pneumonia.
  pubmed Ye W, Wu J, Cao M, Yang Z 2025 Mar 置信度 0.82
• Tailored psychotherapy and AI-enhanced contingency management for co-occurring disorders in cannabis use disorder: a systematic review.
  Cannabis use disorder (CUD) commonly co-occurs with depression, post-traumatic stress disorder (PTSD), anxiety, and attention-deficit/hyperactivity disorder (ADHD), resulting in poorer outcomes and underscoring the need for tailored interventions. Contingency …
  pubmed Mishra S, Mishra S, Rath S 2026 Feb 4 置信度 0.82
• Enhancing diagnostic safety with low iodine, low radiation CTPA classification using deep learning.
  Pulmonary embolism (PE) is a life-threatening condition for which computed tomography pulmonary angiography (CTPA) is the standard diagnostic modality. However, conventional CTPA protocols require relatively high iodine contrast and radiation doses, raising co…
  pubmed Hong M, Gu T, An H, Fan X 等 2026 Feb 4 置信度 0.82
• Development and interpretation of a dual-energy CT-based deep learning radiomics model for predicting new cerebral ischemic lesions after carotid artery stenting: a multicenter study.
  Early recognition of individuals at elevated risk for new ipsilateral ischemic lesions (NIILs) after carotid artery stenting (CAS) is vital for planning effective preventive interventions. The aim of this study was to develop a deep learning (DL) radiomics mod…
  pubmed Lin G, Chen W, Hu W, Wu J 等 2026 Jun 置信度 0.82
• Involvement and perceptions of patients regarding the integration of artificial intelligence in surgery: A qualitative systematic review.
  pubmed Ben Hmido S, Abder Rahim H, Burchell GL, Damman O 等 2026 Feb 置信度 0.82
• Exosome-related lactylation gene signature defines diagnostic biomarkers of periodontitis through integrative bulk and single-cell transcriptomics.
  Exosomes and lactylation modification have been increasingly recognized as key regulators of diseases, yet their integrative role in periodontitis remains unclear. No diagnostic model based on exosome-related lactylation genes (ERLGs) has been previously estab…
  pubmed Liang X, Fu R, Chen X 2026 Apr 置信度 0.82
• Development and Validation of a Machine Learning Tool for Plastic Surgery Residency Application Screening.
  Applications to integrated plastic surgery residency programs have outpaced the growth of available positions. As a result, faculty must review more applications each year. Artificial intelligence provides 1 mechanism for holistic, expedited review of applicat…
  pubmed Zhu KJ, Bachina P, Heron MJ, Er S 等 2026 Apr 置信度 0.82
• A hybrid swin transformer-BiLSTM framework and ensemble learning for multimodal brain stroke detection and risk prediction.
  Stroke is one of the leading causes of mortality and long-term disability worldwide, primarily resulting from the sudden disruption of cerebral blood flow. Early and accurate diagnosis plays a crucial role in minimizing neurological damage and improving recove…
  pubmed Ahmed MM, Hossain MM, Rakib MRH, Hashan R 等 2026 Mar 置信度 0.82
• Using Smartphone-Based Digital Phenotyping to Predict Relapse in Serious Mental Disorders Among Slum Residents in Dhaka, Bangladesh: Protocol for a Machine Learning Study.
  Serious mental illnesses (SMIs) are associated with high relapse rates and limited access to continuous care, particularly in low-resource settings such as urban slums. Traditional clinical monitoring is constrained by accessibility and scalability challenges.…
  pubmed Alam N, Das CK, Roy N, Giacco D 等 2026 Feb 4 置信度 0.82
• Gastric Cancer Mortality-to-Incidence Ratios in Latin America and the Caribbean: A Machine Learning Analysis of Socioeconomic and Clinical Research Predictors.
  To characterize gastric cancer epidemiology in Latin America and the Caribbean, identify country-level predictors of the mortality-to-incidence ratio (MIR), and describe the clinical research landscape with emphasis on precision oncology (PO).
  pubmed Pilco-Janeta DF, De la Cruz-Puebla M, Guamán-Pilco DR, Moyolema-Pilco AD 等 2026 Feb 置信度 0.82
• Multistream Deep Learning Models Using Multimodal Optical Coherence Tomography for Predicting Visual Impairment in Epiretinal Membrane.
  To develop multistream deep learning models that receive multimodal optical coherence tomography (OCT) images to predict visual impairment in epiretinal membrane (ERM), and to identify possible OCT biomarkers for visual impairment.
  pubmed Yeh HH, Chou PY, Hsieh CC, Lai YH 等 2026 Feb 置信度 0.82
• Remote detection of the critical view of safety in pediatric laparoscopic cholecystectomy using artifitial intelligence.
  Laparoscopic cholecystectomy (LC) is increasingly performed in pediatric patients. Bile duct injury remains one of its most serious complications. The critical view of safety (CVS) aims to reduce this risk, but its identification is subjective. Artificial inte…
  pubmed Olivieri SE, Darrigran S, Petracchi E, Bidone P 等 2026 置信度 0.82
• Machine learning-based prediction of one-year mortality after alloHCT identifies the impact of pre-transplant immunity and inflammation.
  Accurate prediction of mortality after allogeneic hematopoietic stem cell transplantation (alloHCT) is essential for individualized treatment decisions, yet existing clinical risk scores capture only a limited number of variables and show modest predictive per…
  pubmed Meyer T, Meyer R, Hackenberg M, Oelke D 等 2025 置信度 0.82
• Comparing the performance of radiomics, nomograms, machine learning, and large language models in predicting 28-day mortality in severe community-acquired pneumonia patients.
  Severe community-acquired pneumonia (SCAP) is a significant global health challenge due to its high mortality. Despite advances, early diagnosis and effective management remain critical. Tools like radiomics analyze imaging data for risk assessment, while mach…
  pubmed Lin T, Wan H, Liang Y, Ming J 等 2025 置信度 0.82
• Designing conversational intelligence: effect of large language models (GPT-driven) platforms for precision maternal and newborn health engagement: a systematic review.
  Maternal and newborn mortality remain stubbornly high in low-resource settings, driven by limited access to timely, personalized and emotionally supportive care during pregnancy. Large language models/generative pre-trained transformer (LLM/GPTs), particularly…
  pubmed Rasoli R, Ebrahimisadrabadi F, Khedri Z, Sohrabei S 2026 置信度 0.82
• "You're Not Crazy": A Case of New-onset AI-associated Psychosis.
  Anecdotal reports of psychosis emerging in the context of artificial intelligence (AI) chatbot use have been increasingly reported in the media. However, it remains unclear to what extent these cases represent the induction of new-onset psychosis versus the ex…
  pubmed Pierre JM, Gaeta B, Raghavan G, Sarma KV 2025 Oct-Dec 置信度 0.82
• A systematic review on the generative AI applications in human medical genetics.
  Although traditional statistical techniques and machine learning methods have contributed significantly to genetics and, in particular, inherited disease diagnosis, they often struggle with complex, high-dimensional data, a challenge now addressed by state-of-…
  pubmed Changalidis A, Barbitoff Y, Nasykhova Y, Glotov A 2025 置信度 0.82
• An integrated AI-enabled system using One Class Twin Cross Learning for early gastric cancer detection.
  Early detection of gastric cancer, a leading cause of cancer-related mortality worldwide, remains significantly hampered by the limitations of current diagnostic technologies, resulting in high rates of misdiagnosis and missed diagnoses.
  pubmed Liu XX, Wei Y, Guo Y, Zhang H 等 2025 置信度 0.82
• Textbook-level medical knowledge in large language models: comparative evaluation using Japanese National Medical Examination.
  BACKGROUND: The accuracy of the latest reasoning-enhanced large language models on national medical licensing examinations remains unknown, which is crucial for determining how close they are to serving as effective knowledge sources for medical education. Thi…
  pubmed Liu M, Okuhara T, Dai Z, Zhao M 等 2026 Feb 3 置信度 0.82
• Establishing a prediction model for the therapeutic outcomes of short-term and long-term orthokeratology treatment: using baseline data and changes in AL as dynamic variables.
  PURPOSE: To establish and validate short-term and long-term prediction models for the therapeutic outcomes of orthokeratology (OK) lenses in children, incorporating baseline ocular parameters and dynamic changes in axial length (AL) as predictive variables. ME…
  pubmed Wang Z, Hu X, Chang F, Zhang X 等 2026 Feb 3 置信度 0.82
• Machine Learning Models for Predicting Stroke-Associated Pneumonia: A Systematic Review and Meta-Analysis.
  Stroke-associated pneumonia (SAP) is a frequent and severe complication following stroke. Recently, several machine learning (ML) models have been developed to predict SAP. We aimed to evaluate the predictive performance of these models in SAP prediction. We s…
  pubmed Hajikarimloo B, Mohammadzadeh I, Tos SM, Hashemi R 等 2026 Jun 置信度 0.82
• Predicting genetic evolution of viruses to identify suitable vaccines using artificial intelligence.
  The evolution of the viruses is rapidly becoming a global challenge to the creation of vaccines since the new variants are often capable of escaping the immune system and decreasing the vaccine efficacy. The traditional methods of genomic epidemiology rely on …
  pubmed Shahin OR, Ibrahim MN, Alanazi A, Alharithi FS 等 2026 Feb 3 置信度 0.82
• Clinical Terminology Mapping Service Based on Information Retrieval.
  Standardized clinical terminology is essential for semantic interoperability. Typically, a hospital's terminology expert manually maps local terminology with international standards such as SNOMED CT. The manual mapping process is demanding, labor-intensive, a…
  pubmed Jung S, Yu SJ, Yi BK 2025 May 置信度 0.82
• Biometric Data in Post-Traumatic Stress Disorder Detection: A Scoping Review of Digital Health Applications.
  Post-traumatic stress disorder (PTSD) is mainly assessed through self-reports and clinician interviews, which can delay recognition and limit reach. Biometric markers captured using digital technologies may enable earlier and more objective detections.
  pubmed Khaing PT, Nakayama M 2026 May 置信度 0.82
• Evaluation of an Artificial Intelligence Conversational Chatbot to Enhance HIV Preexposure Prophylaxis Uptake: Development and Usability Internal Testing.
  The HIV epidemic in the United States disproportionately impacts gay, bisexual, and other men who have sex with men (MSM). Despite the effectiveness of HIV preexposure prophylaxis (PrEP) in preventing HIV acquisition, uptake among MSM remains suboptimal. Motiv…
  pubmed Tao J, Pavlick E, Grondin A, Bustamante JD 等 2026 Feb 3 置信度 0.82
• Diagnostic Codes in AI Prediction Models and Label Leakage of Same-Admission Clinical Outcomes.
  Artificial intelligence models that predict same-admission outcomes for hospitalized patients, such as inpatient mortality, often rely on International Classification of Diseases (ICD) diagnostic codes, even when these codes are not finalized until after disch…
  pubmed Ramadan B, Liu MC, Burkhart MC, Parker WF 等 2025 Dec 1 置信度 0.82
• Anti-Seizure Medication Use Before Electroencephalography in Infants.
  This cross-sectional study examines antiseizure medication use before electroencephalography in infants in the neonatal intensive care unit population.
  pubmed Beller N, Fields M, Hogan CH, Krishna S 等 2025 Dec 1 置信度 0.82
• Development and Validation of a Prediction Model for Intracranial Aneurysm Rupture Risk.
  Unruptured intracranial aneurysms (UIAs) affect 3.2% of the general population, and approximately 85% of subarachnoid hemorrhages result from their rupture. Despite their classification as low risk by prediction tools such as PHASES (population, hypertension, …
  pubmed Fujimura S, Yanagisawa T, Kudo G, Koshiba T 等 2025 Dec 1 置信度 0.82
• Vulnerability of Large Language Models to Prompt Injection When Providing Medical Advice.
  Large language models (LLMs) are increasingly integrated into health care applications; however, their vulnerability to prompt-injection attacks (ie, maliciously crafted inputs that manipulate an LLM's behavior) capable of altering medical recommendations has …
  pubmed Lee RW, Jun TJ, Lee JM, Cho SI 等 2025 Dec 1 置信度 0.82
• Revolutionizing Liver Imaging: Artificial Intelligence-Driven Advances in Diagnostics and Staging.
  Artificial intelligence (AI) has emerged as a transformative tool in liver imaging, offering enhanced diagnostic accuracy, efficiency, and reproducibility. The integration of machine learning and deep learning algorithms into radiological workflows has shown s…
  pubmed Devkota S, Bhujade H, Kalra N 2026 Mar-Apr 置信度 0.82
• Importance of Preconception Reproductive Genetic Screening in Routine Clinical Care.
  Preconception reproductive genetic screening (PRGS) is an increasingly important strategy in preventive reproductive healthcare, enabling the identification of carrier status for autosomal recessive and X-linked disorders in asymptomatic individuals prior to c…
  pubmed Basavaraj N, Pallathur N, Taha AGE, Sharma R 等 2026 Jan 置信度 0.82
• Circadian ADCY3 Ser107Pro variant bridges difficulty awakening in the morning and adiposity.
  Modern lifestyles often disturb circadian rhythms, yet the genetic circuits that convert this stress into metabolic dysfunction remain poorly defined. Here, we identify a missense variant in ADCY3 (rs11676272; Ser107Pro) as a pleiotropic regulator of circadian…
  pubmed Tchio C, Maher M, Moth C, Meiler J 等 2026 Feb 20 置信度 0.82
• Adolescent idiopathic scoliosis research over the past 15 years: A bibliometric analysis of hotspots and emerging trends.
  To map the knowledge structure of adolescent idiopathic scoliosis (AIS) research from 2010 to 2024 and to identify emerging trends that are reshaping measurement, risk stratification, and intervention paradigms.
  pubmed Hu R, Chen S, Chen X, Jiang Z 等 2026 Jan 30 置信度 0.82
• Benchmark evaluation of deepseek AI models in antibacterial clinical decision-making for infectious diseases.
  Antimicrobial resistance (AMR) poses a global threat to public health, though AI models have shown transformative potential in combating AMR. China's DeepSeek, a novel open-source, low-cost, and locally deployable AI model, is increasingly integrated into clin…
  pubmed Zhang L, Pan Y, Lai W, Liang Z 等 2026 Feb 2 置信度 0.82
• Systematic Review: Agentic AI in Neuroradiology: Technical Promise with Limited Clinical Evidence.
  Agentic artificial intelligence systems featuring iterative reasoning, autonomous tool use, or multi-agent collaboration have been proposed as solutions to the limitations of large language models (LLMs) in neuroradiology. However, the extent of their implemen…
  pubmed Salehi S, Keishing V, Singh Y, Wei D 等 2026 Feb 2 置信度 0.82
• ML-Assisted Olfactory Epidemiology Survey Urbanizing China: A Population-Based Study in Yancheng.
  Urbanization-related air pollution may be associated with olfactory dysfunction (OD) in China, yet population studies are lacking.
  pubmed Zang Y, Gao X, Chen W, Zhou P 等 2026 Apr 置信度 0.82
• [Research progress in the field of liver failure with artificial livers in 2025].
  2025年，我国颁布了首部《慢加急性肝衰竭诊治指南（2025年版）》，国际上也&#x9…
  pubmed Han T 2026 Jan 20 置信度 0.82
• Artificial Intelligence-based detection of neuropsychiatric lupus: an exploratory meta-analysis of neuroimaging and multimodal biomarker models.
  Neuropsychiatric systemic lupus erythematosus (NPSLE) remains challenging to diagnose because of heterogeneous clinical presentations, nonspecific findings, and the absence of definitive biomarkers. Artificial intelligence (AI) methods have been increasingly e…
  pubmed Nouroozi F, Kazemi HS, Alinezhad A, Goudarzi N 等 2026 Feb 2 置信度 0.82
• Pediatric acute mastoiditis: an Italian multicenter retrospective study of clinical, microbiological, and radiological features.
  Acute mastoiditis (AM) is the most common intratemporal complication of acute otitis media in children. This multicenter study aimed to describe the epidemiological, clinical, microbiological, and radiological features of pediatric AM in four Italian regions a…
  pubmed Aricò MO, Trotta D, Accomando F, Messa A 等 2026 Feb 2 置信度 0.82
• Bibliometric analysis of application of radiomics and artificial intelligence integration in personalized treatment of hepatocellular carcinoma.
  Recent advancements in personalized medicine have highlighted the importance of customized strategies in managing hepatocellular carcinoma (HCC), especially through the use of radiomics and artificial intelligence (AI) in treatment planning. While many studies…
  pubmed Yu Z, Ke L, Lin Z 2025 Dec 3 置信度 0.82
• Developing a Multimodal Screening Algorithm for Mild Cognitive Impairment and Early Dementia in Home Health Care: Protocol for a Cross-Sectional Case-Control Study Using Speech Analysis, Large Language Models, and Electronic Health Records.
  Mild cognitive impairment and early dementia (MCI-ED) are frequently unrecognized in routine care, particularly in home health care (HHC), where clinical decisions are made under time constraints and cognitive status may be incompletely documented. Federally m…
  pubmed Zolnoori M 2026 Feb 2 置信度 0.82
• Assessing the Role of Artificial Intelligence in Caries Detection and Clinical Decision-Making: A Scoping Review.
  Artificial intelligence (AI) support is expected to increase accuracy and improve treatment plans in dentistry. Nevertheless, AI's ability to promote better oral healthcare is underexplored. This scoping review explores the influence of AI in supporting dental…
  pubmed Sezen-Hulsmans D, Pereira-Cenci T, Sonneveld RE, Loomans BAC 等 2026 Feb 2 置信度 0.82
• Evaluation of semi-automated record screening methods for systematic reviews of prognosis studies and intervention studies.
  Systematic reviews (SRs) synthesize evidence through a rigorous, labor-intensive, and costly process. To accelerate the title-abstract screening phase of SRs, several artificial intelligence (AI)-based semi-automated screening tools have been developed to redu…
  pubmed Spiero I, Leeuwenberg AM, Moons KGM, Hooft L 等 2025 Nov 置信度 0.82
• Optimal large language models to screen citations for systematic reviews.
  Recent studies highlight the potential of large language models (LLMs) in citation screening for systematic reviews; however, the efficiency of individual LLMs for this application remains unclear. This study aimed to compare accuracy, time-related efficiency,…
  pubmed Oami T, Okada Y, Nakada TA 2025 Nov 置信度 0.82
• Assessing risk of bias of cohort studies with large language models.
  This study aims to explore the feasibility and accuracy of utilizing large language models (LLMs) to assess the risk of bias (ROB) in cohort studies. We conducted a pilot and feasibility study in 30 cohort studies randomly selected from reference lists of publ…
  pubmed Xia D, Lai H, Zhao W, Huang J 等 2025 Nov 置信度 0.82
• StudyTypeTeller-Large language models to automatically classify research study types for systematic reviews.
  screening, a labor-intensive aspect of systematic review, is increasingly challenging due to the rising volume of scientific publications. Recent advances suggest that generative large language models like generative pre-trained transformer (GPT) could aid thi…
  pubmed Emilova Doneva S, de Viragh S, Hubarava H, Schandelmaier S 等 2025 Nov 置信度 0.82
• Bayesian Federated Inference for regression models based on non-shared medical center data.
  To estimate accurately the parameters of a regression model, the sample size must be large enough relative to the number of possible predictors for the model. In practice, sufficient data is often lacking, which can lead to overfitting of the model and, as a c…
  pubmed Jonker MA, Pazira H, Coolen ACC 2025 Mar 置信度 0.82
• A comprehensive systematic review dataset is a rich resource for training and evaluation of AI systems for title and abstract screening.
  When conducting a systematic review, screening the vast body of literature to identify the small set of relevant studies is a labour-intensive and error-prone process. Although there is an increasing number of fully automated tools for screening, their perform…
  pubmed Chan GCK, He E, Leung J, Verspoor K 2025 Mar 置信度 0.82
• Generalizable and scalable multistage biomedical concept normalization leveraging large language models.
  Biomedical entity normalization is critical to biomedical research because the richness of free-text clinical data, such as progress notes, can often be fully leveraged only after translating words and phrases into structured and coded representations suitable…
  pubmed Dobbins NJ 2025 May 置信度 0.82
• Exploring the potential of Claude 2 for risk of bias assessment: Using a large language model to assess randomized controlled trials with RoB 2.
  Systematic reviews are essential for evidence-based health care, but conducting them is time- and resource-consuming. To date, efforts have been made to accelerate and (semi-)automate various steps of systematic reviews through the use of artificial intelligen…
  pubmed Eisele-Metzger A, Lieberum JL, Toews M, Siemens W 等 2025 May 置信度 0.82
• Automating the data extraction process for systematic reviews using GPT-4o and o3.
  Large language models have shown promise for automating data extraction (DE) in systematic reviews (SRs), but most existing approaches require manual interaction. We developed an open-source system using GPT-4o to automatically extract data with no human inter…
  pubmed Kataoka Y, Takayama T, Yoshimura K, So R 等 2026 Jan 置信度 0.82
• Hematologic markers and machine learning in predicting placenta accreta: A case-control study.
  This study aims to enhance antenatal detection of placenta accreta spectrum (PAS) and predict severe hemorrhage at delivery using machine learning by evaluating the association between antenatal hematologic index trends across trimesters, imaging markers, and …
  pubmed Jochum MD, Albrecht KD, Martinez YM, Zhang V 等 2026 Jun 置信度 0.82
• Advancing Maternal Health with Long-Acting Therapeutics: Priorities, Efficacy and Safety Considerations, and Emerging Technologies.
  Maternal health remains a critical global concern, particularly in underserved populations and in low- and middle-income countries where access to safe and effective therapeutics is limited. Despite the use of medications by most women during pregnancy, the ex…
  pubmed Scott RK, Nachman S, Weld ED, Daley R 等 2026 May 置信度 0.82
• Artificial intelligence and precision medicine: a pilot study predicting optimal ceftaroline dosage for pediatric patients.
  Accurate drug dosing in pediatrics is complicated by age-related physiological variability. Standard weight-based dosing may result in either subtherapeutic exposure or toxicity. Machine learning (ML) models can capture complex relationships among clinical var…
  pubmed Frasca M, Gazzaniga G, Graziosi A, De Nicolo V 等 2025 置信度 0.82
• Beyond conventional therapies: Gut microbiota modulation and macromolecular drugs in the battle against cardiometabolic diseases.
  Cardiometabolic diseases (CMDs) represent an ongoing major global health challenge, driven by complex interactions among genetic, environmental, microbiome-related, and other factors. While small-molecule drugs and lifestyle interventions can provide clinical …
  pubmed Wang J, Qu J, Ye M, Feng R 等 2026 Jan 置信度 0.82
• Artificial intelligence-curated repository of gene-encoded natural diverse components from herbal medicines.
  Natural components, evolved to help organisms adapt and defend against threats, are also vital sources for drug discovery due to their diverse and potent bioactivities. In the present work, we proposed the Gene-encoded Natural Diverse Components Repository (GN…
  pubmed Chen W, Yu Z, Leng L, Sun D 等 2025 Dec 1 置信度 0.82
• Inside Their Minds: A Multi-Institutional Exploration into the Decision-Making of Medical School Competency Committee Members.
  A competency committee is a group of experts who make a consensus-based judgement about a learner's competence. While evidence-based practices for post-graduate committees have been described, research and standards are lacking in undergraduate medical educati…
  pubmed Ryan MS, Teunissen PW, Parsons AS, Bradley E 等 2026 置信度 0.82
• Artificial intelligence models in the surgical planning of low-grade gliomas: a systematic review.
  AI techniques like convolutional neural networks (CNN), deep learning (DL), and neural networks (NN) have made it easier to automatically extract important clinical data for glioma post-treatment monitoring and surgical planning.
  pubmed Sanker V, Venkatesan A, Salma A, Sp A 等 2025 置信度 0.82
• Recent therapeutic advances in gynecologic oncology: evolving roles of immunotherapy, antibody-drug conjugates, and clinical trial innovations.
  Gynecologic cancers, including cervical, endometrial, and ovarian malignancies, remain among the leading causes of cancer-related illness and death in women worldwide. Despite progress in surgery and chemotherapy, resistance to conventional cytotoxic drugs con…
  pubmed Koshkimbayeva G, Amirkhanova A, Orazymbetova A, Nurakhova A 等 2025 置信度 0.82
• Optimizing Customer Engagement in Multi-source E-commerce Retail Datasets Using Artificial Intelligence-Based Efficient Techniques
  Customer engagement in multi-source e-commerce environments plays a vital role in the success of a business. It is one of the main factors that influence purchase behavior, brand loyalty, and overall customer satisfaction. Predicting customer engagement on e-c…
  crossref Anirudh Parupalli 2026-02-23T20:46:45Z 置信度 0.70
• Review on Artificial Intelligence in the Environmental Monitoring
  crossref Balendra V. S. Chauhan, Ajitanshu Vedrtnam, Kevin P. Wyche, Sneha Verma 2025-06-17T17:12:59Z 置信度 0.70
• A DWT-Based Framework for Medical Image Fusion
  The combined use of complementary information in different imaging modalities provided by medical image fusion is important in clinical diagnosis by providing a single, more informative image. The given paper documents an effective method of fusion that is dev…
  crossref C Chakri, C Bharath Simha Reddy, K Viswak Reddy, Bhavana V 2026-01-20T20:37:40Z 置信度 0.70
• Ethical aspects of implementing generative artificial intelligence in medical education: a narrative review
  crossref Malik Sallam, Mohammed Sallam 2025-07-15T07:56:21Z 置信度 0.70
• Transforming Healthcare: The Synergy of Telemedicine, Telehealth, and Artificial Intelligence
  crossref Jyotir Moy Chatterjee, R. Sujatha 2025-01-31T16:13:47Z 置信度 0.70
• Privacy, Please: Safeguarding Medical Data in Imaging AI Using Differential Privacy Techniques
  crossref Abhinav Suri, Ronald M. Summers 2024-01-17T14:51:05Z 置信度 0.70
• Implicit embedding based multi modal attention network for Cricket video summarization
  crossref Ipsita Pattnaik, Pulkit Narwal 2025-03-06T06:18:54Z 置信度 0.70
• Artificial Intelligence, Territory, Town, and Anthropization Processes
  crossref Stefano Aragona 2025-02-04T03:55:15Z 置信度 0.70
• Philosophy and Technology
  crossref Hugo Luz dos Santos 2025-11-08T17:12:26Z 置信度 0.70
• Artificial Intelligence in Medical Education: Mixed Methods Study in Pakistan (2025 Contexts)
  The advancements in simulation systems, custom learning, and diagnostic techniques suggest the growing potential of AI in transforming how medicine is taught. von Storch et al. conducted a mixed methods analysis of the respondents’ familiarity and attitude tow…
  crossref Farooq Yousaf, Dr. Muhammad Hasnain 2025-12-13T11:42:57Z 置信度 0.70
• Light-VM2D-UNet: A Lightweight UNet Enhanced with Mamba2D for Medical Image Segmentation
  This paper addresses the fundamental trade-off between global long-range dependency modeling and local detail preservation in lightweight medical image segmentation models. Through systematic analysis of the limitations in spatial dependency capturing exhibite…
  crossref Zili Peng, Huang Tan 2025-08-18T19:38:14Z 置信度 0.70
• AutoMed: Multi-Agent AI System for Personalized Medical Knowledge Retrieval and Summarization
  In today’s fast-paced medical environment, researchers and healthcare practitioners frequently find it difficult to keep pace with the sheer number of new articles and studies. Conventional search techniques, though exhaustive, tend to produce either too many …
  crossref Manav Israni, Shruti Renuse, Premanand V 2025-05-29T17:06:27Z 置信度 0.70
• The role of artificial intelligence in medical laboratory technology
  Dear Editor, I am writing to highlight the transformative role of artificial intelligence (AI) in the field of medical laboratory technology. As diagnostic medicine advances, the integration of AI is redefining traditional laboratory practices, enhancing diagn…
  crossref Yugeshwari R. Tiwade, Obaid Noman, Sweta Dilip Bahadure 2025-04-28T16:01:19Z 置信度 0.70
• 2025 IEEE 37th International Conference on Tools with Artificial Intelligence (ICTAI)
  crossref 2025-12-15T18:37:21Z 置信度 0.70
• Digital Humanism
  crossref Hannes Werthner 2025-05-31T11:50:58Z 置信度 0.70
• Co-evolution model of traffic travel and disease transmission under limited resources
  The co-evolution mechanisms between traffic mobility and disease transmission under resource constraints remain poorly understood. This study proposes a two-layer transportation network model integrating the Susceptible-Infectious-Susceptible (SIS) epidemic fr…
  crossref Zhanhao Liang, Kadyrkulova Kyial Kudayberdievna, Guijun wu, Zhantu Liang 等 2025-03-12T07:45:16Z 置信度 0.70
• The Interplay of Artificial Intelligence and Human-Centered Management Practices
  The integration of Artificial Intelligence (AI) into organizational processes is reshaping management paradigms, offering opportunities for efficiency while challenging human-centric values. This chapter explores the interplay between AI and human-centered man…
  crossref Chiheb Eddine Inoubli 2025-09-26T16:22:41Z 置信度 0.70
• Preface
  crossref 2025-01-31T14:26:49Z 置信度 0.70